Julie Darbyshire
MA, MSc, DPhil
Senior Critical Care Researcher
Julie’s academic interests focus on psychological outcomes after critical illness, patient-oriented improvements in healthcare delivery, public understanding of research, and the importance of publishing trial results for the lay audience. Prior to joining the department in 2011 Julie worked for the University of Oxford Diabetes Trials Unit managing large scale international trials and was co-investigator for the 4-T Results Dissemination sub-study.
Julie holds higher degrees in both art and science. Her Masters theses have explored the role of cultural conditioning on the populist view of science and scientists; summaries of which were commissioned by the LabLit website for a generalist audience
As part of her DPhil in Clinical Neurosciences at the University of Oxford she investigated noise levels in the Intensive Care environment and the relationships between noise, sleep and ICU-acquired delirium. She has an ongoing interest in improving sleep quality and 'humanising' the ICU environment to benefit staff and patients.
Julie is registered with ResearchGate
Key publications
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Mapping sources of noise in an intensive care unit
Journal article
Darbyshire JL. et al, (2019), Anaesthesia, 74, 1018 - 1025
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Measuring sleep in the intensive care unit: Electroencephalogram, actigraphy, or questionnaire?
Journal article
Darbyshire JL. et al, (2020), Journal of the Intensive Care Society, 21, 22 - 27
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“I Can Remember Sort of Vivid People…but to Me They Were Plasticine.” Delusions on the Intensive Care Unit: What Do Patients Think Is Going On?
Journal article
Darbyshire JL. et al, (2016), PLOS ONE, 11, e0153775 - e0153775
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An investigation of sound levels on intensive care units with reference to the WHO guidelines
Journal article
Darbyshire JL. and Young JD., (2013), Critical Care, 17, R187 - R187
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Excessive noise in intensive care units Bad for staff and very bad for patients
Journal article
Darbyshire JL., (2016), BMJ-BRITISH MEDICAL JOURNAL, 353
Recent publications
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Improving Quality in Adult Long Covid Services: Findings from the LOCOMOTION Quality Improvement Collaborative.
Journal article
Darbyshire J. et al, (2024), Clin Med (Lond)
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Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts.
Journal article
Pimentel MAF. et al, (2024), BMJ Open, 14
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Pathophysiological Mechanisms in Long COVID: A Mixed Method Systematic Review
Journal article
Diar Bakerly N. et al, (2024), International Journal of Environmental Research and Public Health, 21, 473 - 473
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Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study.
Journal article
Briggs J. et al, (2024), Health Soc Care Deliv Res, 12, 1 - 143
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Prevalence of orthostatic intolerance in Long Covid clinic patients: A multicentre observational study
Preprint
Lee C. et al, (2023)
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Reducing variation in the quality of long covid care: Lessons from a national quality improvement collaborative and multi-site ethnography
Preprint
Greenhalgh T. et al, (2023)
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Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance on the general hospital ward
Journal article
WATKINSON P., (2023), Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance on the general hospital ward
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Design and validation of a new Healthcare Systems Usability Scale (HSUS) for clinical decision support systems: a mixed-methods approach
Journal article
Ghorayeb A. et al, (2023), BMJ Open, 13, e065323 - e065323
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Non-contact physiological monitoring of post-operative patients in the intensive care unit
Journal article
Jorge J. et al, (2022), npj Digital Medicine, 5
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LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION): protocol for a mixed-methods study in the UK.
Journal article
Sivan M. et al, (2022), BMJ Open, 12